Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:mathematical_concept
|
| gptkbp:appliesTo |
set of functions
hypothesis class |
| gptkbp:describes |
capacity of a statistical classification model
|
| gptkbp:field |
gptkb:machine_learning
learning theory |
| gptkbp:hasUnit |
non-negative integer
|
| https://www.w3.org/2000/01/rdf-schema#label |
VC dimension
|
| gptkbp:introduced |
gptkb:Alexey_Chervonenkis
gptkb:Vladimir_Vapnik |
| gptkbp:introducedIn |
1971
|
| gptkbp:namedAfter |
Vapnik–Chervonenkis
|
| gptkbp:relatedTo |
gptkb:PAC_learning
gptkb:empirical_risk_minimization gptkb:Rademacher_complexity structural risk minimization growth function shattering |
| gptkbp:symbol |
VC(H)
|
| gptkbp:usedFor |
bounding generalization error
measuring complexity of hypothesis space |
| gptkbp:bfsParent |
gptkb:Theory_of_Machine_Learning
|
| gptkbp:bfsLayer |
4
|